Large scale genetic landscape and population structure of Ethiopian sesame (Sesamum indicum L.) germplasm revealed through molecular marker analysis

Berhe Muez, You Jun, Dossa Komivi, Abera Fetien Abay, Amponsah Adjei Emmanuel, Zhang Yanxin, Wang Linhai. 2023. Large scale genetic landscape and population structure of Ethiopian sesame (Sesamum indicum L.) germplasm revealed through molecular marker analysis. Oil Crop Science, 8 (4) : 266-277.

https://doi.org/10.1016/j.ocsci.2023.11.003

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Résumé : Sesame (Sesamum indicum L.) plays a crucial role in Ethiopian agriculture, serving both subsistence and commercial purposes. However, our understanding of the extensive genetic diversity and population structure of Ethiopian sesame remains limited. To address this knowledge gap, we genotyped 368 Ethiopian sesame germplasms, categorizing into four distinct breeding groups: Accessions, landraces, improved varieties, and wild types, using a comprehensive set of 28 polymorphic markers, including 23 simple sequence repeat (SSR) and five Insertion-Deletion (InDel) markers. These markers ensured robust genomic representation, with at least two markers per linkage group. Our results unveiled substantial genetic diversity, identifying a total of 535 alleles across all accessions. On average, each locus displayed 8.83 alleles, with observed and expected heterozygosity values of 0.30 and 0.36, respectively. Gene Diversity and Polymorphic Information Content (PIC) were recorded at 0.37 and 0.35. The percentage of polymorphic loci varied significantly among breeding groups, ranging from 8.00% to 82.40%, indicating high diversity in accessions (82.4%), moderate diversity in improved varieties (31.20%) and landraces (29.60%), and limited diversity in wild types (8.00). Analysis of Molecular Variance (AMOVA) results emphasized significant genetic differentiation among populations, with substantial diversity (P < 0.001) within each population. Approximately 8% of the entire genetic diversity could be attributed to distinctions among populations, while the larger proportion of genetic diversity (92%) resided within each individual sesame population, showcasing heightened diversity within each group. Our study's findings received support from both Bayesian clustering and Neighbor-joining (NJ) analysis, reaffirming the credibility of our genetic structure insights. Notably, Population structure analysis at its highest Δk value (k = 2) revealed the existence of two primary genetic clusters, further subdivided into four sub-populations at k = 4. Similarly, NJ analysis identified two prominent clusters, each displaying additional sub-clustering. In conclusion, our research provides a comprehensive understanding of genetic groups, subpopulations, and overall diversity within Ethiopian sesame populations. These findings underscore the significant genetic diversity and population structure within Ethiopian sesame germplasm collections. This genetic richness holds promise for breeding and conservation efforts, highlighting the importance of preserving genetic diversity to ensure adaptation to changing environments and meet the needs of farmers and consumers.

Mots-clés Agrovoc : marqueur génétique, variation génétique, génétique des populations, Sesamum indicum, polymorphisme génétique, germoplasme, collection de matériel génétique, conservation des ressources génétiques, variété, génotype, structure de la population, ressource génétique végétale, microsatellite, biodiversité

Mots-clés géographiques Agrovoc : Éthiopie

Mots-clés libres : Alleles, Conservation, Genetic diversity, Molecular markers, Population structure

Agences de financement hors UE : Chinese Academy of Agricultural Sciences, China Agriculture Research System

Projets sur financement : (CHN) Hubei International Science and Technology Cooperation, (CHN) The Science and Technology Innovation Project of Hubei province

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